Alternatives and similar repositories for my-yelper

Users that are interested in my-yelper are comparing it to the libraries listed below

• topspinj / recommender-tutorial
  An introduction to recommendation systems in Python
  ☆201Updated 5 years ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆272Updated 2 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆300Updated 7 years ago
• Apress / machine-learning-with-pyspark
  Source Code for 'Machine Learning with PySpark' by Pramod Singh
  ☆116Updated 6 years ago
• amitkaps / recommendation
  Recommendation System using ML and DL
  ☆516Updated 3 years ago
• caserec / CaseRecommender
  Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
  ☆499Updated last year
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆62Updated 5 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆111Updated 2 weeks ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆142Updated 6 years ago
• marlesson / recsys_autoencoders
  This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
  ☆53Updated 6 years ago
• khanhnamle1994 / movielens
  4 different recommendation engines for the MovieLens dataset.
  ☆445Updated 6 years ago
• CSKrishna / Recommender-Systems-for-Implicit-Feedback-datasets
  Matrix Factorization augmented with customer item meta data
  ☆22Updated 8 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆423Updated last year
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆251Updated 8 years ago
• piyushpathak03 / Recommendation-systems
  Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…
  ☆209Updated last year
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆581Updated last year
• practical-recommender-systems / moviegeek
  A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
  ☆933Updated last year
• RaptorMai / Deep-AutoEncoder-Recommendation
  Keras implementation of AutoRec and DeepRecommender from Nvidia.
  ☆63Updated 6 years ago
• saurabhmathur96 / movie-recommendations
  Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
  ☆19Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• csaluja / JupyterNotebooks-Medium
  ☆123Updated 7 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 7 years ago
• alineberry / my-movie-recommender
  Personal movie recommender system and a research sandbox
  ☆55Updated 7 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆34Updated 7 years ago
• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 3 years ago
• MingChen0919 / learning-apache-spark
  Notes on Apache Spark (pyspark)
  ☆297Updated 6 years ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆310Updated 3 years ago
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆158Updated 3 years ago